Analysing interaction and localization dynamics in modulation instability via data-driven dominant balance
We report the first application of the Machine Learning technique of data-driven dominant balance to optical fiber noise-driven Modulation Instability, with the aim to automatically identify local regions of dispersive and nonlinear interactions governing the dynamics. We first consider the analytic...
| Hauptverfasser: | , , , , |
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| Format: | Artikel |
| Sprache: | English |
| Veröffentlicht: |
EDP Sciences
2023-01-01
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| Schriftenreihe: | EPJ Web of Conferences |
| Online Zugang: | https://www.epj-conferences.org/articles/epjconf/pdf/2023/13/epjconf_eosam2023_13001.pdf |